Innovative pricing strategies in the digital age: A case study of fashion E-commerce Companies in China
University of edinburgh MA Social Policy and Economics, United Kingdom.
Research Article
GSC Advanced Research and Reviews, 2024, 21(01), 471–480.
Article DOI: 10.30574/gscarr.2024.21.1.0285
Publication history:
Received on 10 July 2024; revised on 15 October 2024; accepted on 18 October 2024
Abstract:
The research explores innovative pricing strategies in China’s fashion e-commerce sector, focusing on their impact on consumer behavior, revenue growth, and market competitiveness. By analyzing techniques such as dynamic pricing, personalized discounts, subscription models, and flash sales, the study uncovers how digital technologies and data analytics optimize pricing frameworks. The integration of AI-driven algorithms and social commerce platforms highlights the sector's adaptability in leveraging technology to influence consumer decisions and boost profitability. A case study approach investigates how fashion e-commerce companies address challenges such as fluctuating demand, market competition, and ethical considerations in pricing. The research also examines consumer perceptions, emphasizing trust, transparency, and the psychological impact of urgency and exclusivity. Findings provide actionable insights for businesses navigating the rapidly evolving digital marketplace. This study not only enhances understanding of pricing strategies but also contributes to broader discussions on the intersection of technology, consumer behavior, and economic growth in the e-commerce landscape.
Keywords:
E-Commerce; Dynamic Pricing; Artificial Intelligence; Personalized Discounts; Consumer Behavior; Social Commerce; Digital Transformation
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
